LENOVO 20MFCTO1WW
Geekbench AI Score
1404
Single Precision Score
385
Half Precision Score
1621
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | andybeals |
| Upload Date | August 31 2024 04:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20MFCTO1WW |
| Motherboard | LENOVO 20MFCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1098
204.2 IPS |
|
|
Image Classification (HP)
|
100% |
80
15.0 IPS |
|
|
Image Classification (Q)
|
97% |
1350
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
978
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2318
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1747
2.04 IPS |
|
|
Pose Estimation (Q)
|
87% |
4519
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
834
66.2 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.51 IPS |
|
|
Object Detection (Q)
|
86% |
953
76.6 IPS |
|
|
Face Detection (SP)
|
100% |
1351
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
158
1.87 IPS |
|
|
Face Detection (Q)
|
96% |
2084
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2515
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
449
3.46 IPS |
|
|
Depth Estimation (Q)
|
76% |
2810
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6132
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4169
5.36 IPS |
|
|
Style Transfer (Q)
|
87% |
7449
9.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1689
62.6 IPS |
|
|
Text Classification (SP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
386
515.1 IPS |
|
|
Text Classification (Q)
|
97% |
296
395.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1074
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
60% |
1011
22.6 IPS |
